Authors: Wajdi M. Alghamdi, Faris A. Kateb, Madini O. Alassafi

ISBN: 978-81-964397-0-5

DOI: https://doi.org/10.59646/csebook/006

This book ‘Artificial intelligence and machine learning’ is a comprehensive discourse on the fundamental principles and concepts. This book is primarily intended for the undergraduate and postgraduate students of computer science and engineering, this text bridges the gaps in knowledge of the seemingly difficult areas of artificial intelligence and machine learning. The main objectives of this book are to study about uninformed and Heuristic search techniques. Also, introduces Machine Learning and supervised learning algorithms, unsupervised learning algorithms, deep learning using neural networks. The text is written in a highly interactive manner which makes for an avid reading. The machine learning section begins with the basis of learning and the various association rule learning algorithms. Various types of learning like, reinforced, supervised, unsupervised and statistical are also included with numerous case studies and application exercises. The well explained algorithms and pseudo codes for each topic make this book useful for students.